Objects of class `ldmppr_model_check` are returned by [check_model_fit()]. They contain global envelope test results and curve sets for multiple summary functions/statistics.
# S3 method for ldmppr_model_check
print(x, ...)# S3 method for ldmppr_model_check
summary(object, ...)
# S3 method for summary.ldmppr_model_check
print(x, ...)
# S3 method for ldmppr_model_check
plot(x, which = c("combined", "L", "F", "G", "J", "E", "V"), ...)
* `print()` prints a brief summary of the diagnostic object. * `summary()` returns a `summary.ldmppr_model_check` object. * `plot()` plots the combined envelope or a selected statistic envelope.
an object of class `ldmppr_model_check`.
additional arguments passed to the underlying `plot()` method (e.g., from **GET**).
an object of class `ldmppr_model_check`.
which envelope to plot. `"combined"` plots the global envelope; otherwise one of `"L"`, `"F"`, `"G"`, `"J"`, `"E"`, `"V"`.
print(ldmppr_model_check): Print a brief summary of the diagnostic results.
summary(ldmppr_model_check): Summarize p-values from the combined and individual envelopes.
plot(ldmppr_model_check): Plot the combined envelope or a selected statistic.
print(summary.ldmppr_model_check): Print a summary produced by [summary.ldmppr_model_check()].
An `ldmppr_model_check` is a list with components such as:
`combined_env`: a global envelope test object (typically from **GET**)
`envs`: named list of envelope test objects (e.g., `L`, `F`, `G`, `J`, `E`, `V`)
`curve_sets`: named list of curve set objects
`settings`: list of settings used when generating envelopes (e.g., `n_sim`, `thinning`)